Michael D. Lieberman

4.9k citations
57 papers · 3.6k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Michael D. Lieberman

57 papers receiving 3.4k citations

Hit Papers

TwitterStand 2009 · 472 citations
4722009202620142020100200300400

Peers

Michael D. Lieberman
Comparison fields: 5 of 179
  • Geography, Planning and Development 628
  • Signal Processing 678
  • General Decision Sciences 88
  • Oncology 834
  • Transportation 182
Replace Gerhard Friedrich with:
Gerhard Friedrich Austria
Carsten Eickhoff United States
Timothy Baldwin Australia
Remco Chang United States
Michelle X. Zhou United States
Harry Hochheiser United States
Danqi Chen China
Robin Cohen Canada
Nicholas Blumm United States
Michal Rosen‐Zvi Israel
Michael D. Lieberman relative to Gerhard Friedrich Austria Gerhard Friedrich's profile →
Citations per field
00.5×20×40×60×78.5×
Gerhard Friedrich · 1×
Citations per year

Countries citing papers authored by Michael D. Lieberman

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Lieberman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Lieberman. 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 Michael D. Lieberman. The network helps show where Michael D. Lieberman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 201636
3 20109
4 20103
5 2008149
6 20072
7 200636
8 200526
9 200362
10 200077
11 2000498
12 199912
13 1998193
14 1998105
15 199585
16 19934
17 199218
18 19912
19 199132
20 199020

About Michael D. Lieberman

Michael D. Lieberman is a scholar working on Geography, Planning and Development, Signal Processing, Biotechnology, Developmental Neuroscience and Information Systems, having authored 57 papers that have together received 3.6k indexed citations. Recurring topics across this work include Data Management and Algorithms (19 papers), Geographic Information Systems Studies (15 papers), Web Data Mining and Analysis (9 papers), Semantic Web and Ontologies (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer Research and Treatments (5 papers), Clinical Nutrition and Gastroenterology (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Geography, Planning and Development (628 citations), Signal Processing (678 citations), General Decision Sciences (88 citations), Oncology (834 citations) and Transportation (182 citations). Michael D. Lieberman has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Hanan Samet, Jagan Sankaranarayanan, Jon Sperling, Benjamin E. Teitler, Murray F. Brennan, Harold Kilburn, Michael A. Lindsey, J.M. Daly, Thomas J. Fahey and Denis Evoy. Their work appears in journals such as Journal of Surgical Research, Annals of Surgery, Surgery, Journal of Parenteral and Enteral Nutrition and Journal of Neuroscience.

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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