Ira Pohl

1.3k citations
40 papers · 854 · h-index 10

Impact in

Papers in

Ira Pohl

34 papers receiving 763 citations

Peers

Ira Pohl
Comparison fields: 5 of 103
  • Artificial Intelligence 458
  • Computer Vision and Pattern Recognition 251
  • Computer Networks and Communications 267
  • Computational Theory and Mathematics 168
  • Software 42
Replace S.-K. Chang with:
S.-K. Chang United States
John Mylopoulos Canada
T. Raita Finland
Bernard A. Galler United States
E. Koutsofios United States
Rishabh Iyer United States
Solomon Eyal Shimony Israel
Bettina Messmer Switzerland
Peter Grossman Australia
Á. E. Eiben Netherlands
Ira Pohl relative to S.-K. Chang United States S.-K. Chang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ira Pohl

Since Specialization
Citations

This map shows the geographic impact of Ira Pohl's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ira Pohl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ira Pohl more than expected).

Fields of papers citing papers by Ira Pohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ira Pohl. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ira Pohl. The network helps show where Ira Pohl may publish in the future.

Co-authors

The 8 scholars most cited alongside Ira Pohl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ira Pohl Line = papers co-authored together Ira Pohl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970320
2 1970139
3
The avoidance of (relative) catastrophe, heuristic competence, genuine dynamic weighting and computational issues in heuristic problem solving
1973108
4 196860
5
Object-oriented programming using C++
199339
6 197236
7
D-node retargeting in bidirectional heuristic search
198428
8
A book on C
198417
9
Joint and LPA* : combination of approximation and search
198614
10
A Copying Collector for C
19919
11 19888
12 19677
13 20217
14
C by Dissection: The Essentials of C Programming
19877
15
The nature of computation : an introduction to computer science
19815
16
C++ for C programmers (2nd ed.)
19935
17
A Book on C: Programming in C
19905
18 19754
19
Object-oriented programming using C++ (2nd ed.)
19963
20
Is complexity theory of use to AI
19843

About Ira Pohl

Ira Pohl is a scholar working on Artificial Intelligence, Computer Networks and Communications, Hardware and Architecture, Computational Theory and Mathematics and Signal Processing, having authored 40 papers that have together received 854 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Data Management and Algorithms (5 papers), Computational Physics and Python Applications (4 papers), Constraint Satisfaction and Optimization (4 papers), Computability, Logic, AI Algorithms (3 papers), Logic, programming, and type systems (3 papers), Distributed and Parallel Computing Systems (3 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Artificial Intelligence (458 citations), Computer Vision and Pattern Recognition (251 citations), Computer Networks and Communications (267 citations), Computational Theory and Mathematics (168 citations) and Software (42 citations). Ira Pohl has collaborated with scholars based in United States, New Zealand and France. Frequent co-authors include Michael A. Arbib, Al Kelley, Daniel Ratner, Alan Shaw, Allen I. Goldberg, Charlie McDowell, Patricia Riddle and Carlos Linares López. Their work appears in journals such as Communications of the ACM, Journal of Symbolic Logic, Mathematics of Computation, Artificial Intelligence and Addison-Wesley Longman Publishing Co., Inc. eBooks.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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