Manuel Lerman

1.3k citations
52 papers · 651 · h-index 14

Impact in

Papers in

Manuel Lerman

50 papers receiving 547 citations

Peers

Manuel Lerman
Comparison fields: 5 of 29
  • Computational Theory and Mathematics 606
  • Geometry and Topology 289
  • Statistics and Probability 74
  • Mathematical Physics 70
  • Artificial Intelligence 181
Replace C. J. Ash with:
C. J. Ash Australia
J. C. E. Dekker United States
Douglas Cenzer United States
Dag Normann Norway
Alberto Marcone Italy
Victor Selivanov Russia
C. E. M. Yates United Kingdom
William W. Boone United States
Steffen Lempp United States
Jerome Malitz United States
Manuel Lerman relative to C. J. Ash Australia C. J. Ash's profile →
Citations per field
00.5×1.5×
C. J. Ash · 1×
Citations per year

Countries citing papers authored by Manuel Lerman

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Lerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Manuel Lerman, 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 Manuel Lerman Line = papers co-authored together Manuel Lerman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983178
2 197136
3 198031
4 197221
5 198320
6 198619
7 197319
8 197218
9 198817
10 198417
11 201317
12 197816
13 198414
14 198613
15 197413
16 197913
17 198913
18 198613
19 199712
20 198112

About Manuel Lerman

Manuel Lerman is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence, Statistics and Probability and Mathematical Physics, having authored 52 papers that have together received 651 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (39 papers), Advanced Topology and Set Theory (23 papers), semigroups and automata theory (22 papers), Logic, Reasoning, and Knowledge (14 papers), Advanced Algebra and Logic (8 papers), Benford’s Law and Fraud Detection (6 papers), Logic, programming, and type systems (4 papers) and Mathematical and Theoretical Analysis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (606 citations), Geometry and Topology (289 citations), Statistics and Probability (74 citations), Mathematical Physics (70 citations) and Artificial Intelligence (181 citations). Manuel Lerman has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert I. Soare, Klaus Ambos‐Spies, Richard A. Shore, Steffen Lempp, James H. Schmerl, Gerald E. Sacks, Stephen G. Simpson, Jeffrey B. Remmel, Reed Solomon and C. T. Chong. Their work appears in journals such as Journal of Symbolic Logic, Transactions of the American Mathematical Society, Annals of Pure and Applied Logic, Israel Journal of Mathematics and Advances in Mathematics.

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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