Todd Bodnar

687 total citations
10 papers, 435 citations indexed

About

Todd Bodnar is a scholar working on Information Systems, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Todd Bodnar has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Epidemiology and 3 papers in Sociology and Political Science. Recurrent topics in Todd Bodnar's work include Data-Driven Disease Surveillance (4 papers), Recommender Systems and Techniques (3 papers) and Complex Network Analysis Techniques (3 papers). Todd Bodnar is often cited by papers focused on Data-Driven Disease Surveillance (4 papers), Recommender Systems and Techniques (3 papers) and Complex Network Analysis Techniques (3 papers). Todd Bodnar collaborates with scholars based in United States, Germany and Sweden. Todd Bodnar's co-authors include Marcel Salathé, Devon D. Brewer, Caroline O. Buckee, Ciro Cattuto, Patricia L. Mabry, John S. Brownstein, Ellsworth M. Campbell, Alessandro Vespignani, Linus Bengtsson and Shashank Khandelwal and has published in prestigious journals such as PLoS ONE, PLoS Computational Biology and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Todd Bodnar

9 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd Bodnar United States	6	204	122	84	76	57	10	435
Gaurav Tuli United States	11	77 0.4×	97 0.8×	67 0.8×	58 0.8×	84 1.5×	24	483
Vidya Purushothaman United States	10	123 0.6×	233 1.9×	59 0.7×	104 1.4×	70 1.2×	28	470
André T. Nguyen United States	9	395 1.9×	87 0.7×	221 2.6×	83 1.1×	49 0.9×	15	616
Geoffrey Fairchild United States	12	305 1.5×	125 1.0×	189 2.3×	76 1.0×	52 0.9×	29	681
Daniela Perrotta United Kingdom	12	210 1.0×	83 0.7×	181 2.2×	39 0.5×	75 1.3×	21	436
Ashlynn R. Daughton United States	12	120 0.6×	129 1.1×	69 0.8×	117 1.5×	43 0.8×	27	419
Tim Nguyen Switzerland	10	135 0.7×	199 1.6×	48 0.6×	45 0.6×	114 2.0×	36	460
Nicholas Generous United States	13	285 1.4×	70 0.6×	180 2.1×	51 0.7×	24 0.4×	26	536
Shashank Khandelwal United States	4	336 1.6×	292 2.4×	160 1.9×	132 1.7×	191 3.4×	5	799
Hyekyung Woo South Korea	10	137 0.7×	95 0.8×	43 0.5×	39 0.5×	26 0.5×	39	389

Countries citing papers authored by Todd Bodnar

Since Specialization

Citations

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

Fields of papers citing papers by Todd Bodnar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Bodnar

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

All Works

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10 of 10 papers shown

1.

Tercan, Hasan, et al.. (2021). When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails. 134. 25–29. 1 indexed citations

2.

Tercan, Hasan, et al.. (2021). Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application. 610–617. 7 indexed citations

3.

Tercan, Hasan, et al.. (2021). A Filter is Better Than None: Improving Deep Learning-Based Product Recommendation Models by Using a User Preference Filter. 1278–1285. 3 indexed citations

4.

Bodnar, Todd, et al.. (2016). Using Large-Scale Social Media Networks as a Scalable Sensing System for Modeling Real-Time Energy Utilization Patterns. IEEE Transactions on Systems Man and Cybernetics Systems. 47(10). 2627–2640. 16 indexed citations

5.

Adrover, C., Todd Bodnar, Zhuojie Huang, Amalio Telenti, & Marcel Salathé. (2015). Identifying Adverse Effects of HIV Drug Treatment and Associated Sentiments Using Twitter. JMIR Public Health and Surveillance. 1(2). e7–e7. 49 indexed citations

6.

Bodnar, Todd, Conrad S. Tucker, Kenneth M. Hopkinson, & Sven G. Bilén. (2014). Increasing the veracity of event detection on social media networks through user trust modeling. 636–643. 39 indexed citations

7.

Bodnar, Todd & Marcel Salathé. (2013). Validating models for disease detection using twitter. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 699–702. 35 indexed citations

8.

Huang, Zhuojie, et al.. (2013). Understanding population displacements on location-based call records using road data. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 17–21. 2 indexed citations

9.

Bodnar, Todd & Marcel Salathé. (2012). Governing the Global Commons with Local Institutions. PLoS ONE. 7(4). e34051–e34051. 5 indexed citations

10.

Salathé, Marcel, Linus Bengtsson, Todd Bodnar, et al.. (2012). Digital Epidemiology. PLoS Computational Biology. 8(7). e1002616–e1002616. 278 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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