Daniel Lehmann

160 papers receiving 5.4k citations

Hit Papers

A state-feedback approach to event-based control 2009 · 781 citations
7811990202620022014250500750

Peers

Daniel Lehmann
Comparison fields: 5 of 148
  • Computational Theory and Mathematics 1.4k
  • Management Science and Operations Research 1.0k
  • Artificial Intelligence 2.3k
  • Computer Networks and Communications 1.5k
  • Control and Systems Engineering 1.3k
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Citations per year

Countries citing papers authored by Daniel Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nonmonotonic reasoning, preferential models and cumulative logics
Hit paper breakdown →
1990793
2
A state-feedback approach to event-based control
Hit paper breakdown →
2009781
3 2002449
4 1992404
5 2005222
6 2001144
7
Truth revelation in rapid, approximately efficient combinatorial auctions
2001139
8
Functional imaging with low resolution brain electromagnetic tomography (LORETA) : review, new comparisons, and new validation
2002120
9 1981115
10 1995108
11 2013105
12 2011102
13 200095
14 201090
15
Belief revision, revised
199585
16 200483
17 199576
18 198270
19 201265
20 197764

About Daniel Lehmann

Daniel Lehmann is a scholar working on Geometry and Topology, Mathematical Physics, Computational Theory and Mathematics, Artificial Intelligence and Applied Mathematics, having authored 170 papers that have together received 5.8k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (30 papers), Advanced Algebra and Logic (16 papers), Homotopy and Cohomology in Algebraic Topology (14 papers), Logic, programming, and type systems (14 papers), Stability and Control of Uncertain Systems (13 papers), Algebraic Geometry and Number Theory (12 papers), Petri Nets in System Modeling (10 papers) and Advanced Differential Equations and Dynamical Systems (9 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Management Science and Operations Research (1.0k citations), Artificial Intelligence (2.3k citations), Computer Networks and Communications (1.5k citations) and Control and Systems Engineering (1.3k citations). Daniel Lehmann has collaborated with scholars based in Israel, Germany and France. Frequent co-authors include Jan Lunze, Menachem Magidor, Sarit Kraus, Yoav Shoham, Liadan O'Callaghan, Noam Nisan, Karl Henrik Johansson, Michael O. Rabin, Rica Gonen and Michael Smyth. Their work appears in journals such as Theoretical Computer Science, Annales de l’institut Fourier, European Psychiatry, Comptes Rendus Mathématique and Artificial Intelligence.

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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