Dan DeLaurentis

32 total papers · 566 total citations
19 papers, 383 citations indexed

About

Dan DeLaurentis is a scholar working on Control and Systems Engineering, General Economics, Econometrics and Finance and Aerospace Engineering. According to data from OpenAlex, Dan DeLaurentis has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Control and Systems Engineering, 6 papers in General Economics, Econometrics and Finance and 6 papers in Aerospace Engineering. Recurrent topics in Dan DeLaurentis's work include Systems Engineering Methodologies and Applications (7 papers), Aviation Industry Analysis and Trends (6 papers) and Air Traffic Management and Optimization (5 papers). Dan DeLaurentis is often cited by papers focused on Systems Engineering Methodologies and Applications (7 papers), Aviation Industry Analysis and Trends (6 papers) and Air Traffic Management and Optimization (5 papers). Dan DeLaurentis collaborates with scholars based in United States, United Kingdom and Netherlands. Dan DeLaurentis's co-authors include Datu Buyung Agusdinata, Klein E. Ileleji, Fu Zhao, Alexander Paz, Srinivas Peeta, Mary Bone, Peter A. Beling, William Crossley, Mark Blackburn and Kasey M. Faust and has published in prestigious journals such as Environmental Science & Technology, Journal of Environmental Management and Transportation Research Part A Policy and Practice.

In The Last Decade

Dan DeLaurentis

18 papers receiving 369 citations

Author Peers

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

Author						Papers	Cites
Dan DeLaurentis	114	95	61	60	59	19	383
Rong Hu	52 0.5×	34 0.4×	58 1.0×	8 0.1×	14 0.2×	32	395
Martin Bugaj	74 0.6×	19 0.2×	23 0.4×	20 0.3×	28 0.5×	41	395
Raad Yahya Qassim	74 0.6×	97 1.0×	14 0.2×	35 0.6×	22 0.4×	33	435
Olja Čokorilo	33 0.3×	15 0.2×	27 0.4×	11 0.2×	50 0.8×	47	333
Anping Wan	77 0.7×	30 0.3×	15 0.2×	31 0.5×	20 0.3×	24	405
Muhammad Ali	103 0.9×	20 0.2×	29 0.5×	17 0.3×	15 0.3×	45	417
Elizabeth B. Connelly	28 0.2×	20 0.2×	44 0.7×	47 0.8×	17 0.3×	17	369
Ehsan Asadi	39 0.3×	31 0.3×	8 0.1×	31 0.5×	9 0.2×	13	351
Jasveer Singh	17 0.1×	36 0.4×	26 0.4×	33 0.6×	9 0.2×	14	374
Lijie Wang	35 0.3×	24 0.3×	10 0.2×	27 0.5×	16 0.3×	28	397

Countries citing papers authored by Dan DeLaurentis

Since Specialization

Citations

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

Fields of papers citing papers by Dan DeLaurentis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan DeLaurentis

This figure shows the co-authorship network connecting the top 25 collaborators of Dan DeLaurentis. A scholar is included among the top collaborators of Dan DeLaurentis 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 Dan DeLaurentis. Dan DeLaurentis 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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