A. Pavan

776 citations
65 papers · 460 · h-index 10

Impact in

Papers in

A. Pavan

53 papers receiving 437 citations

Peers

A. Pavan
Comparison fields: 5 of 47
  • Computational Theory and Mathematics 226
  • Artificial Intelligence 266
  • Signal Processing 86
  • Statistical and Nonlinear Physics 94
  • Computer Networks and Communications 155
Replace Hossein Jowhari with:
Hossein Jowhari Canada
Alessio Conte Italy
Marvin Künnemann Germany
Jakub Łącki United States
V. Arvind India
Virginia Vassilevska United States
Eden Chlamtáč United States
Marcos A. Kiwi Chile
T. Feder United States
Bruce M. Kapron Canada
A. Pavan relative to Hossein Jowhari Canada Hossein Jowhari's profile →
Citations per field
00.5×2×4×6×7×
Hossein Jowhari · 1×
Citations per year

Countries citing papers authored by A. Pavan

Since Specialization
Citations

This map shows the geographic impact of A. Pavan'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 A. Pavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Pavan more than expected).

Fields of papers citing papers by A. Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Pavan. 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 A. Pavan. The network helps show where A. Pavan may publish in the future.

Co-authors

The 25 scholars most cited alongside A. Pavan, 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 A. Pavan Line = papers co-authored together A. Pavan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 201336
3 199934
4 200521
5 200121
6 200718
7 201517
8
Range-efficient computation of F0 over massive data streams
200516
9 202310
10 200710
11 20059
12 20159
13 20188
14 20088
15 20047
16 20137
17 20126
18 20185
19 20045
20 20075

About A. Pavan

A. Pavan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Computer Networks and Communications, Signal Processing and Statistical and Nonlinear Physics, having authored 65 papers that have together received 460 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (37 papers), Computability, Logic, AI Algorithms (16 papers), Machine Learning and Algorithms (12 papers), Advanced Graph Theory Research (11 papers), Cryptography and Data Security (10 papers), Optimization and Search Problems (8 papers), Logic, Reasoning, and Knowledge (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Computational Theory and Mathematics (226 citations), Artificial Intelligence (266 citations), Signal Processing (86 citations), Statistical and Nonlinear Physics (94 citations) and Computer Networks and Communications (155 citations). A. Pavan has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Srikanta Tirthapura, Kanat Tangwongsan, Kun‐Lung Wu, Alan L. Selman, John M. Hitchcock, Vinodchandran Variyam, D. Sivakumar, Jin‐Yi Cai, Lance Fortnow and Christian Glaßer. Their work appears in journals such as SIAM Journal on Computing, Theory of Computing Systems, Information and Computation, Algorithmica and ACM Transactions on Computation Theory.

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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