Jeffrey W. Ohlmann

962 total citations
32 papers, 650 citations indexed

About

Jeffrey W. Ohlmann is a scholar working on Industrial and Manufacturing Engineering, Economics and Econometrics and Automotive Engineering. According to data from OpenAlex, Jeffrey W. Ohlmann has authored 32 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 8 papers in Economics and Econometrics and 6 papers in Automotive Engineering. Recurrent topics in Jeffrey W. Ohlmann's work include Vehicle Routing Optimization Methods (15 papers), Sports Analytics and Performance (8 papers) and Transportation and Mobility Innovations (6 papers). Jeffrey W. Ohlmann is often cited by papers focused on Vehicle Routing Optimization Methods (15 papers), Sports Analytics and Performance (8 papers) and Transportation and Mobility Innovations (6 papers). Jeffrey W. Ohlmann collaborates with scholars based in United States, Italy and China. Jeffrey W. Ohlmann's co-authors include Barrett W. Thomas, Justin C. Goodson, Michael J. Fry, Shu Zhang, Philip C. Jones, Kang Zhao, James C. Bean, Manuel López‐Ibáñez, Christian Blum and Luca Bertazzi and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Operations Research.

In The Last Decade

Jeffrey W. Ohlmann

30 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey W. Ohlmann United States	15	404	237	109	108	76	32	650
İmdat Kara Türkiye	12	563 1.4×	221 0.9×	222 2.0×	46 0.4×	57 0.8×	27	686
Diana G. Ramirez-Ríos United States	10	554 1.4×	328 1.4×	349 3.2×	191 1.8×	61 0.8×	25	841
Jean‐Paul Arnaout Lebanon	15	452 1.1×	66 0.3×	60 0.6×	69 0.6×	83 1.1×	33	735
Peng Tian China	12	475 1.2×	194 0.8×	140 1.3×	71 0.7×	125 1.6×	51	875
Gerardo Berbeglia Australia	10	821 2.0×	738 3.1×	475 4.4×	251 2.3×	50 0.7×	22	1.3k
Zhenghui Sha United States	17	183 0.5×	129 0.5×	75 0.7×	21 0.2×	38 0.5×	97	710
Maria Albareda-Sambola Spain	17	574 1.4×	123 0.5×	212 1.9×	108 1.0×	41 0.5×	33	845
Natalia Kliewer Germany	17	646 1.6×	569 2.4×	192 1.8×	426 3.9×	32 0.4×	52	1.2k
Byung Duk Song South Korea	17	529 1.3×	247 1.0×	169 1.6×	45 0.4×	31 0.4×	37	1.1k
Maria Antónia Carravilla Portugal	22	807 2.0×	137 0.6×	98 0.9×	57 0.5×	31 0.4×	53	1.2k

Countries citing papers authored by Jeffrey W. Ohlmann

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey W. Ohlmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey W. Ohlmann. 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 Jeffrey W. Ohlmann. The network helps show where Jeffrey W. Ohlmann may publish in the future.

Co-authorship network of co-authors of Jeffrey W. Ohlmann

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

All Works

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20 of 20 papers shown

Maio, Annarita De, et al.. (2024). Analysis of in-store crowdshipping in a stochastic dynamic pickup-and-delivery system. Central European Journal of Operations Research. 33(3). 1149–1170.

Laganà, Demetrio, et al.. (2024). Dynamic pickup-and-delivery for collaborative platforms with time-dependent travel and crowdshipping. European Journal of Operational Research. 322(1). 70–84.

Bertazzi, Luca & Jeffrey W. Ohlmann. (2020). Direct k-routing versus cross-docking: worst-case results. Optimization Letters. 15(5). 1579–1586. 1 indexed citations

Ohlmann, Jeffrey W., et al.. (2019). Keeping it 100: Social Media and Self-Presentation in College Football Recruiting. Big Data. 7(1). 3–20. 9 indexed citations

Zhang, Shu, Jeffrey W. Ohlmann, & Barrett W. Thomas. (2019). Multi-period orienteering with uncertain adoption likelihood and waiting at customers. European Journal of Operational Research. 282(1). 288–303. 3 indexed citations

Ohlmann, Jeffrey W., et al.. (2018). The turf is always greener: Predicting decommitments in college football recruiting using Twitter data. Decision Support Systems. 116. 1–12. 15 indexed citations

Ohlmann, Jeffrey W., et al.. (2016). Ranking and prediction of collegiate wrestling. SHILAP Revista de lepidopterología. 3(1). 1–19. 2 indexed citations

Lin, Qihang, et al.. (2016). Generalized Inverse Classification. arXiv (Cornell University). 2 indexed citations

Ohlmann, Jeffrey W., et al.. (2016). Analysis of monday night football viewership. Statistical Analysis and Data Mining The ASA Data Science Journal. 9(5). 326–337. 2 indexed citations

10.

Goodson, Justin C., Barrett W. Thomas, & Jeffrey W. Ohlmann. (2015). Restocking-Based Rollout Policies for the Vehicle Routing Problem with Stochastic Demand and Duration Limits. Transportation Science. 50(2). 591–607. 43 indexed citations

11.

López‐Ibáñez, Manuel, Christian Blum, Jeffrey W. Ohlmann, & Barrett W. Thomas. (2013). The travelling salesman problem with time windows: Adapting algorithms from travel-time to makespan optimization. Applied Soft Computing. 13(9). 3806–3815. 32 indexed citations

12.

Fry, Michael J. & Jeffrey W. Ohlmann. (2012). Introduction to the Special Issue on Analytics in Sports, Part II: Sports Scheduling Applications. INFORMS Journal on Applied Analytics. 42(3). 229–231. 8 indexed citations

13.

Fry, Michael J. & Jeffrey W. Ohlmann. (2012). Introduction to the Special Issue on Analytics in Sports, Part I: General Sports Applications. INFORMS Journal on Applied Analytics. 42(2). 105–108. 23 indexed citations

14.

Ohlmann, Jeffrey W., et al.. (2010). A randomized Delaunay triangulation heuristic for the Euclidean Steiner tree problem in ℜ d. Journal of Heuristics. 17(4). 353–372. 6 indexed citations

15.

Fry, Michael J. & Jeffrey W. Ohlmann. (2009). Route Design for Delivery of Voting Machines in Hamilton County, Ohio. INFORMS Journal on Applied Analytics. 39(5). 443–459. 4 indexed citations

16.

Ohlmann, Jeffrey W., Michael J. Fry, & Barrett W. Thomas. (2008). Route Design for Lean Production Systems. Transportation Science. 42(3). 352–370. 21 indexed citations

17.

Ohlmann, Jeffrey W. & Philip C. Jones. (2008). An integer programming model for optimal pork marketing. Annals of Operations Research. 190(1). 271–287. 28 indexed citations

18.

Jones, Philip C. & Jeffrey W. Ohlmann. (2007). Long-range timber supply planning for a vertically integrated paper mill. European Journal of Operational Research. 191(2). 558–571. 10 indexed citations

19.

Ohlmann, Jeffrey W. & Barrett W. Thomas. (2007). A Compressed-Annealing Heuristic for the Traveling Salesman Problem with Time Windows. INFORMS journal on computing. 19(1). 80–90. 85 indexed citations

20.

Ohlmann, Jeffrey W., James C. Bean, & Shane G. Henderson. (2004). Convergence in Probability of Compressed Annealing. Mathematics of Operations Research. 29(4). 837–860. 15 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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