Ira Pohl

1.2k citations
35 papers · 730 · h-index 9

Impact in

Papers in

Ira Pohl

30 papers receiving 653 citations

Peers

Ira Pohl
Comparison fields: 5 of 90
  • Artificial Intelligence 402
  • Computer Vision and Pattern Recognition 234
  • Computer Networks and Communications 236
  • Software 33
  • Computational Theory and Mathematics 126
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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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970291
2 1970108
3
The avoidance of (relative) catastrophe, heuristic competence, genuine dynamic weighting and computational issues in heuristic problem solving
197399
4 196855
5
Object-oriented programming using C++
199333
6 197230
7
D-node retargeting in bidirectional heuristic search
198425
8
Joint and LPA* : combination of approximation and search
198614
9
A Copying Collector for C
19918
10 20217
11
C by Dissection: The Essentials of C Programming
19877
12 19887
13
C++ for C programmers (2nd ed.)
19935
14
A Book on C: Programming in C
19905
15
The nature of computation : an introduction to computer science
19814
16 19754
17
Is complexity theory of use to AI
19843
18
Introducing Computer Science - An Alternative.
19772
19
A book on C (4th ed.): programming in C
19972
20
C by dissection (3rd ed.): the essentials of C programming
19962

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 35 papers that have together received 730 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Data Management and Algorithms (4 papers), Computational Physics and Python Applications (4 papers), Constraint Satisfaction and Optimization (4 papers), Logic, programming, and type systems (3 papers), Distributed and Parallel Computing Systems (3 papers), Computability, Logic, AI Algorithms (3 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Computer Vision and Pattern Recognition (234 citations), Computer Networks and Communications (236 citations), Software (33 citations) and Computational Theory and Mathematics (126 citations). Ira Pohl has collaborated with scholars based in United States, New Zealand and Spain. 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 Mathematics of Computation, Journal of Symbolic Logic, Artificial Intelligence, Communications of the ACM and IFIP Congress.

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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