Lisa Fleischer

4.5k citations
56 papers · 2.2k indexed · h-index 25

Impact in

Papers in

Lisa Fleischer

55 papers receiving 2.0k citations

Peers

Lisa Fleischer
Comparison fields: 5 of 94
  • Computational Theory and Mathematics 685
  • Transportation 256
  • Computer Networks and Communications 821
  • Management Science and Operations Research 406
  • Computer Graphics and Computer-Aided Design 100
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Citations per field
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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-authorship network

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
#Work
1 20250
2 20145
3 201318
4 20112
5 201149
6 200922
7 200910
8 200812
9 200674
10 200661
11 2006103
12 200525
13
Sensor placement in municipal water networks.
200411
14 200416
15 20037
16 200354
17 20029
18 200213
19 20002
20
Faster approximation algorithms for generalized flow
199913

About Lisa Fleischer

Lisa Fleischer is a scholar working on Computational Theory and Mathematics, Management Science and Operations Research, Computer Networks and Communications, Computer Graphics and Computer-Aided Design and Transportation, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (28 papers), Optimization and Search Problems (20 papers), Advanced Graph Theory Research (18 papers), Game Theory and Applications (11 papers), Auction Theory and Applications (7 papers), Game Theory and Voting Systems (7 papers), Transportation Planning and Optimization (5 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Computational Theory and Mathematics (685 citations), Transportation (256 citations), Computer Networks and Communications (821 citations), Management Science and Operations Research (406 citations) and Computer Graphics and Computer-Aided Design (100 citations). Lisa Fleischer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Satoru Iwata, Satoru Fujishige, Kamal Jain, Éva Tardos, Jonathan W. Berry, William E. Hart, Cynthia A. Phillips, Martin Skutella, Jean‐Paul Watson and Mohammad Mahdian. Their work appears in journals such as Mathematics of Operations Research, SIAM Journal on Computing, SIAM Journal on Discrete Mathematics, Mathematical Programming and Operations Research Letters.

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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