Mark Nadel

1.8k citations
26 papers · 508 · h-index 11

Impact in

Papers in

Mark Nadel

22 papers receiving 445 citations

Peers

Mark Nadel
Comparison fields: 5 of 67
  • Geometry and Topology 131
  • Cancer Research 140
  • Computational Theory and Mathematics 163
  • Mathematical Physics 53
  • Algebra and Number Theory 17
Replace Fuzhou Gong with:
Fuzhou Gong China
Shutao Chen China
Shuanping Du China
AM Arjeh Cohen United States
Shuyang Gao United States
Ravi A. Rao India
Zepeng Li China
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Charles F. Miller Australia
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Citations per field
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Citations per year

Countries citing papers authored by Mark Nadel

Since Specialization
Citations

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

Fields of papers citing papers by Mark Nadel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mark Nadel, 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 Mark Nadel Line = papers co-authored together Mark Nadel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005243
2 197446
3
What Needs Securing.
198843
4 197831
5 197815
6 198214
7
Substitution and Refutation Revisited.
199113
8 197813
9 198213
10 197413
11 200612
12 19809
13 19816
14 19775
15 19725
16 19904
17 19784
18 19724
19 19893
20 19943

About Mark Nadel

Mark Nadel is a scholar working on Computational Theory and Mathematics, Geometry and Topology, Artificial Intelligence, Computer Networks and Communications and Mathematical Physics, having authored 26 papers that have together received 508 indexed citations. Recurring topics across this work include Advanced Topology and Set Theory (9 papers), Computability, Logic, AI Algorithms (6 papers), Logic, Reasoning, and Knowledge (5 papers), Advanced Algebra and Logic (3 papers), Logic, programming, and type systems (3 papers), semigroups and automata theory (3 papers), Auction Theory and Applications (2 papers) and History and Theory of Mathematics (2 papers). The work is most often cited by research in Geometry and Topology (131 citations), Cancer Research (140 citations), Computational Theory and Mathematics (163 citations), Mathematical Physics (53 citations) and Algebra and Number Theory (17 citations). Mark Nadel has collaborated with scholars based in United States, Israel and Poland. Frequent co-authors include Jenny E. Rooke, John Harris, S. R. Gullans, Lori A. Neely, J.J. Garver, Maria Hackett, Sonal A. Patel, Stephen McLaughlin, Michael Gallo and Joshua D. Guttman. Their work appears in journals such as Journal of Symbolic Logic, Israel Journal of Mathematics, Proceedings of the American Mathematical Society, Nature Methods and The Journal of Logic Programming.

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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