Lisa Fleischer

72 papers receiving 2.8k citations

Peers

Lisa Fleischer
Comparison fields: 5 of 100
  • Computational Theory and Mathematics 1.0k
  • Computer Networks and Communications 1.2k
  • Transportation 325
  • Management Science and Operations Research 582
  • Computer Graphics and Computer-Aided Design 161
Replace Frank Plastria with:
Frank Plastria Belgium
Martin Skutella Germany
Michel Minoux France
Jeff Linderoth United States
Arie Tamir Israel
Chaitanya Swamy Canada
Ulrich Pferschy Austria
Robert Fourer United States
John E. Mitchell United States
Justo Puerto Spain
Lisa Fleischer relative to Frank Plastria Belgium Frank Plastria's profile →
Citations per field
00.5×2.8×
Frank Plastria · 1×
Citations per year

Countries citing papers authored by Lisa Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001375
2 2005242
3 2000205
4 2004146
5 1998137
6 2007128
7 2006126
8 201294
9 200692
10 200086
11 200681
12 200265
13 200364
14 200862
15 201155
16 200154
17 200053
18 199451
19 200247
20 200445

About Lisa Fleischer

Lisa Fleischer is a scholar working on Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research, Economics and Econometrics and Artificial Intelligence, having authored 72 papers that have together received 3.0k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (33 papers), Optimization and Search Problems (25 papers), Advanced Graph Theory Research (22 papers), Game Theory and Applications (14 papers), Auction Theory and Applications (10 papers), Game Theory and Voting Systems (8 papers), Economic theories and models (7 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Computational Theory and Mathematics (1.0k citations), Computer Networks and Communications (1.2k citations), Transportation (325 citations), Management Science and Operations Research (582 citations) and Computer Graphics and Computer-Aided Design (161 citations). Lisa Fleischer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Satoru Iwata, Satoru Fujishige, Martin Skutella, Kamal Jain, Éva Tardos, Cynthia A. Phillips, Jonathan W. Berry, William E. Hart, Mohammad Mahdian and Jean‐Paul Watson. Their work appears in journals such as Mathematics of Operations Research, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics, Mathematical Programming and Lecture notes in computer science.

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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