Mark Paich

636 total citations
13 papers, 435 citations indexed

About

Mark Paich is a scholar working on Management Science and Operations Research, Economics and Econometrics and Health. According to data from OpenAlex, Mark Paich has authored 13 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Science and Operations Research, 4 papers in Economics and Econometrics and 1 paper in Health. Recurrent topics in Mark Paich's work include Innovation Diffusion and Forecasting (4 papers), Complex Systems and Decision Making (3 papers) and Pharmaceutical Economics and Policy (2 papers). Mark Paich is often cited by papers focused on Innovation Diffusion and Forecasting (4 papers), Complex Systems and Decision Making (3 papers) and Pharmaceutical Economics and Policy (2 papers). Mark Paich collaborates with scholars based in United States. Mark Paich's co-authors include John D. Sterman, Sara S. Metcalf, Todd K. BenDor, Jim Smith, Joydeep Sarkar, Qian Chen, Samuel P. Burns, Michael J. Widener, Stephen Marshall and Mary E. Northridge and has published in prestigious journals such as PLoS ONE, Management Science and Sustainability.

In The Last Decade

Mark Paich

11 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Paich United States	7	259	93	83	70	55	13	435
Anil Gaba United States	12	213 0.8×	72 0.8×	70 0.8×	143 2.0×	38 0.7×	22	548
Fred Wenstøp Norway	13	185 0.7×	155 1.7×	82 1.0×	95 1.4×	50 0.9×	23	502
Matthew J. Spaniol Denmark	10	117 0.5×	53 0.6×	77 0.9×	36 0.5×	87 1.6×	20	388
Essam Mahmoud United States	12	288 1.1×	26 0.3×	112 1.3×	113 1.6×	64 1.2×	31	539
Ernesto León‐Castro Chile	14	333 1.3×	62 0.7×	37 0.4×	83 1.2×	32 0.6×	76	563
Rex V. Brown United States	15	194 0.7×	97 1.0×	25 0.3×	76 1.1×	73 1.3×	42	493
Philip Cheng Australia	9	107 0.4×	104 1.1×	48 0.6×	81 1.2×	17 0.3×	32	361
Ming‐Chien Sung United Kingdom	14	261 1.0×	74 0.8×	101 1.2×	327 4.7×	45 0.8×	46	725
Frank Ruff Finland	5	118 0.5×	46 0.5×	180 2.2×	65 0.9×	66 1.2×	7	374
Kyoichi Kijima Japan	11	119 0.5×	43 0.5×	48 0.6×	35 0.5×	57 1.0×	72	349

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-authorship network of co-authors of Mark Paich

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Paich. A scholar is included among the top collaborators of Mark Paich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Paich. Mark Paich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Sarkar, Joydeep, et al.. (2018). A long-term mechanistic computational model of physiological factors driving the onset of type 2 diabetes in an individual. PLoS ONE. 13(2). e0192472–e0192472. 11 indexed citations

2.

Paich, Mark, et al.. (2017). Integrating artifical intelligence with anylogic simulation. 2017 Winter Simulation Conference (WSC). 4449–4449. 7 indexed citations

3.

BenDor, Todd K., Sara S. Metcalf, & Mark Paich. (2011). The Dynamics of Brownfield Redevelopment. Sustainability. 3(6). 914–936. 49 indexed citations

4.

Metcalf, Sara S., Michael J. Widener, Mary E. Northridge, et al.. (2011). Modeling the dynamics of dental health in older adults.

5.

Paich, Mark, et al.. (2011). Pharmaceutical market dynamics and strategic planning: a system dynamics perspective. System Dynamics Review. 27(1). 47–63. 16 indexed citations

6.

Paich, Mark, et al.. (2009). Pharmaceutical Product Branding Strategies. 2 indexed citations

7.

Paich, Mark, et al.. (2009). Pharmaceutical Product Branding Strategies: Simulating Patient Flow and Portfolio Dynamics. TU Digital Collections (Thammasat University). 1 indexed citations

8.

Paich, Mark, et al.. (2004). Pharmaceutical Product Strategy. 2 indexed citations

9.

Paich, Mark, et al.. (2004). Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning. TU Digital Collections (Thammasat University). 5 indexed citations

10.

Smith, Jim, et al.. (2002). A Multimethod Approach for Creating New Business Models: The General Motors OnStar Project. INFORMS Journal on Applied Analytics. 32(1). 20–34. 62 indexed citations

11.

Paich, Mark & John D. Sterman. (1993). Boom, Bust, and Failures to Learn in Experimental Markets. Management Science. 39(12). 1439–1458. 255 indexed citations

12.

Paich, Mark, et al.. (1985). Impact on academic medical center of reduction in reimbursement of indirect research costs. Academic Medicine. 60(9). 669–76. 1 indexed citations

13.

Paich, Mark. (1985). Generic structures. System Dynamics Review. 1(1). 126–132. 24 indexed citations

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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