Mark Paich

636 citations
13 papers · 435 · h-index 7

Impact in

Papers in

Mark Paich

11 papers receiving 386 citations

Peers

Mark Paich
Comparison fields: 5 of 97
  • Management Science and Operations Research 259
  • General Decision Sciences 23
  • Strategy and Management 83
  • Management Information Systems 46
  • Artificial Intelligence 93
Replace Fred Wenstøp with:
Fred Wenstøp Norway
Anil Gaba United States
Matthew J. Spaniol Denmark
Ming‐Chien Sung United Kingdom
Ulf Peter Welam United States
Philip Cheng Australia
Ulrike Leopold‐Wildburger Austria
David E. Pingry United States
Jayavel Sounderpandian United States
Verónica Cañal‐Fernández Spain
Mark Paich relative to Fred Wenstøp Norway Fred Wenstøp's profile →
Citations per field
00.5×1.5×2.4×
Fred Wenstøp · 1×
Citations per year

Countries citing papers authored by Mark Paich

Since Specialization
Citations

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

Fields of papers citing papers by Mark Paich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Mark Paich, 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 Paich Line = papers co-authored together Mark Paich links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1993255
2 200262
3 201149
4 198524
5 201116
6 201811
7 20177
8
Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning
20045
9 20092
10 20042
11 19851
12
Pharmaceutical Product Branding Strategies: Simulating Patient Flow and Portfolio Dynamics
20091
13
Modeling the dynamics of dental health in older adults
20110

About Mark Paich

Mark Paich is a scholar working on Management Science and Operations Research, Economics and Econometrics, Health, Strategy and Management and Sociology and Political Science, having authored 13 papers that have together received 435 indexed citations. Recurring topics across this work include Innovation Diffusion and Forecasting (4 papers), Complex Systems and Decision Making (3 papers), Pharmaceutical Economics and Policy (2 papers), Diet, Metabolism, and Disease (1 paper), Natural Language Processing Techniques (1 paper), Semantic Web and Ontologies (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper) and Experimental Behavioral Economics Studies (1 paper). The work is most often cited by research in Management Science and Operations Research (259 citations), General Decision Sciences (23 citations), Strategy and Management (83 citations), Management Information Systems (46 citations) and Artificial Intelligence (93 citations). Mark Paich has collaborated with scholars based in United States. Frequent co-authors include John D. Sterman, Sara S. Metcalf, Todd K. BenDor, Jim Smith, Joydeep Sarkar, Qian Chen, Samuel P. Burns, Mary E. Northridge, Michael J. Widener and Stephen Marshall. Their work appears in journals such as System Dynamics Review, INFORMS Journal on Applied Analytics, Management Science, Academic Medicine and Sustainability.

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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