Chris Caplice

51 total papers · 1.3k total citations
27 papers, 800 citations indexed

About

Chris Caplice is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Chris Caplice has authored 27 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Management Information Systems, 6 papers in Strategy and Management and 6 papers in Management Science and Operations Research. Recurrent topics in Chris Caplice's work include Transportation Planning and Optimization (4 papers), Outsourcing and Supply Chain Management (4 papers) and Quality and Supply Management (3 papers). Chris Caplice is often cited by papers focused on Transportation Planning and Optimization (4 papers), Outsourcing and Supply Chain Management (4 papers) and Quality and Supply Management (3 papers). Chris Caplice collaborates with scholars based in United States, Malaysia and Netherlands. Chris Caplice's co-authors include Yossi Sheffi, Hani S. Mahmassani, Shardul S. Phadnis, C. Michael Walton, Yosef Sheffi, Başak Kalkancı, André Carrel and Jarrod Goentzel and has published in prestigious journals such as Strategic Management Journal, International Journal of Production Economics and Technological Forecasting and Social Change.

In The Last Decade

Chris Caplice

23 papers receiving 702 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chris Caplice 356 265 228 174 140 27 800
Mingyuan Chen 339 1.0× 390 1.5× 246 1.1× 176 1.0× 63 0.5× 23 959
Werner Jammernegg 376 1.1× 411 1.6× 126 0.6× 177 1.0× 164 1.2× 38 980
James V. Jucker 351 1.0× 192 0.7× 168 0.7× 196 1.1× 86 0.6× 26 903
Karel H. van Donselaar 421 1.2× 217 0.8× 139 0.6× 121 0.7× 229 1.6× 12 905
Ginger Y. Ke 195 0.5× 278 1.0× 173 0.8× 91 0.5× 111 0.8× 58 995
Martine Cools 316 0.9× 311 1.2× 73 0.3× 47 0.3× 137 1.0× 31 731
Hein Fleuren 203 0.6× 285 1.1× 69 0.3× 100 0.6× 194 1.4× 32 746
Alf Kimms 210 0.6× 91 0.3× 188 0.8× 220 1.3× 76 0.5× 44 869
Aalok Kumar 142 0.4× 399 1.5× 127 0.6× 74 0.4× 165 1.2× 23 802
Tsung‐Sheng Chang 109 0.3× 107 0.4× 248 1.1× 155 0.9× 153 1.1× 49 985

Countries citing papers authored by Chris Caplice

Since Specialization
Citations

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

Fields of papers citing papers by Chris Caplice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Caplice

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Caplice. A scholar is included among the top collaborators of Chris Caplice 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 Chris Caplice. Chris Caplice is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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