Michael J. Cuellar

402 total citations
36 papers, 289 citations indexed

About

Michael J. Cuellar is a scholar working on Sociology and Political Science, Communication and Management Science and Operations Research. According to data from OpenAlex, Michael J. Cuellar has authored 36 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 11 papers in Communication and 8 papers in Management Science and Operations Research. Recurrent topics in Michael J. Cuellar's work include Knowledge Management and Sharing (10 papers), Information Systems Theories and Implementation (9 papers) and scientometrics and bibliometrics research (8 papers). Michael J. Cuellar is often cited by papers focused on Knowledge Management and Sharing (10 papers), Information Systems Theories and Implementation (9 papers) and scientometrics and bibliometrics research (8 papers). Michael J. Cuellar collaborates with scholars based in United States, France and Australia. Michael J. Cuellar's co-authors include Duane Truex, Richard Vidgen, Michael J. Gallivan, Keil, R. Johnson, Ephraim R. McLean, Jong Seok Lee, Mark Keil, Roman Beck and Hideaki Takeda and has published in prestigious journals such as European Journal of Operational Research, Journal of the Association for Information Systems and European Journal of Information Systems.

In The Last Decade

Michael J. Cuellar

31 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael J. Cuellar United States	10	91	86	81	65	58	36	289
Maximilian Heimstädt Germany	9	44 0.5×	22 0.3×	95 1.2×	30 0.5×	40 0.7×	27	315
Danny Kingsley Australia	9	11 0.1×	104 1.2×	42 0.5×	46 0.7×	120 2.1×	29	312
Sônia Elisa Caregnato Brazil	9	19 0.2×	51 0.6×	56 0.7×	15 0.2×	117 2.0×	80	311
Paul N. Mbatia United States	6	6 0.1×	78 0.9×	94 1.2×	69 1.1×	70 1.2×	16	306
Mike Gallivan United States	11	109 1.2×	7 0.1×	63 0.8×	54 0.8×	92 1.6×	32	333
Alireza Isfandyari‐Moghaddam Iran	12	9 0.1×	61 0.7×	49 0.6×	53 0.8×	174 3.0×	47	349
Gavin Clarkson United States	7	11 0.1×	21 0.2×	40 0.5×	17 0.3×	24 0.4×	22	281
Pierrette Bergeron Canada	6	76 0.8×	10 0.1×	33 0.4×	65 1.0×	69 1.2×	19	289
Remedios Melero Spain	11	18 0.2×	173 2.0×	19 0.2×	52 0.8×	147 2.5×	54	381
Chunxiao Yin China	9	55 0.6×	6 0.1×	224 2.8×	89 1.4×	35 0.6×	25	362

Countries citing papers authored by Michael J. Cuellar

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Cuellar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Cuellar. 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 Michael J. Cuellar. The network helps show where Michael J. Cuellar may publish in the future.

Co-authorship network of co-authors of Michael J. Cuellar

This figure shows the co-authorship network connecting the top 25 collaborators of Michael J. Cuellar. A scholar is included among the top collaborators of Michael J. Cuellar 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 Michael J. Cuellar. Michael J. Cuellar 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

Cuellar, Michael J., et al.. (2023). Are Ranked Journal Lists Effective Determiners of Article Quality?. Journal of Computer Information Systems. 64(5). 622–635.

Cuellar, Michael J., et al.. (2018). A Methodological Improvement in the Evaluation of Research Output: an Adapted use of the Scholarly Capital Model. Journal of the Association for Information Systems. 1 indexed citations

Cuellar, Michael J.. (2018). How Do We Know If Our Project is Successful? A Call to Reconceptualize Project Success.. Journal of the Association for Information Systems. 1 indexed citations

Cuellar, Michael J., et al.. (2017). Change the Metrics to Liberate the IS Field. Journal of the Association for Information Systems.

Cuellar, Michael J., et al.. (2016). Toward a Conceptualization of Research Output Quality. Americas Conference on Information Systems. 2 indexed citations

Cuellar, Michael J., et al.. (2016). Can We Trust Journal Rankings to Assess Article Quality. Americas Conference on Information Systems. 6 indexed citations

Cuellar, Michael J., et al.. (2016). Rejoinder to the Response to "The Scholarly Capital Model". Journal of the Association for Information Systems. 17(1). 34–38. 3 indexed citations

Cuellar, Michael J., et al.. (2016). Ideational Influence, Connectedness, and Venue Representation: Making an Assessment of Scholarly Capital. Journal of the Association for Information Systems. 17(1). 1–28. 23 indexed citations

Cuellar, Michael J., et al.. (2015). The Intention to Re-Adopt Collaboration and Communication Technologies by Project Teams. Journal of the Association for Information Systems. 1–7.

10.

Cuellar, Michael J., et al.. (2013). Online Community Influence: A Study Using the Hirsch Metric and Social Network Analysis. Americas Conference on Information Systems. 1 indexed citations

11.

Cuellar, Michael J., et al.. (2012). Emancipating scholars: reconceptualizing scholarly output. Base Institutionnelle de Recherche de l'université Paris-Dauphine (BIRD) (University Paris-Dauphine). 5 indexed citations

12.

Cuellar, Michael J., et al.. (2012). What Drives User Contribution in an Online Community? A Study in Contributor Influence and User Status. Americas Conference on Information Systems. 1 indexed citations

13.

Cuellar, Michael J., et al.. (2012). Online Community User Influence: A Study Using User Status. Journal of the Association for Information Systems. 2 indexed citations

14.

Truex, Duane, et al.. (2012). Scholarly Influence Research (SIR). RePEc: Research Papers in Economics. 2(1). 17–31. 1 indexed citations

15.

Cuellar, Michael J., et al.. (2011). Networks of innovation in IS research: an exploration of the relationship between co-authorship networks and H-family indices. Journal of the Association for Information Systems. 2 indexed citations

16.

Truex, Duane, et al.. (2010). Evaluating Scholarly Influence Through Social Network Analysis: the Next Step in Evaluating Scholarly Influence. Journal of the Association for Information Systems. 2(11). 1–10. 8 indexed citations

17.

Truex, Duane, et al.. (2009). Assessing Scholarly Influence: Using the Hirsch Indices to Reframe the Discourse. Journal of the Association for Information Systems. 10(7). 560–594. 72 indexed citations

18.

Truex, Duane, et al.. (2008). Assessing Scholarly Influence: Proposing New Metrics. Journal of the Association for Information Systems. 34. 4 indexed citations

19.

Cuellar, Michael J., et al.. (2008). The Hirsch Family of Bibliometric Indices as an Improved Measure of IS Academic Journal Impact. Journal of the Association for Information Systems. 295. 9 indexed citations

20.

Cuellar, Michael J.. (2007). A REALIST SOCIAL THEORY OF INFORMATION SYSTEMS. Journal of the Association for Information Systems. 54. 1 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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