John P. Isaacs

57 total papers · 560 total citations
30 papers, 344 citations indexed

About

John P. Isaacs is a scholar working on Building and Construction, Artificial Intelligence and Management, Monitoring, Policy and Law. According to data from OpenAlex, John P. Isaacs has authored 30 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Building and Construction, 5 papers in Artificial Intelligence and 5 papers in Management, Monitoring, Policy and Law. Recurrent topics in John P. Isaacs's work include Urban Design and Spatial Analysis (5 papers), Land Use and Ecosystem Services (5 papers) and 3D Modeling in Geospatial Applications (5 papers). John P. Isaacs is often cited by papers focused on Urban Design and Spatial Analysis (5 papers), Land Use and Ecosystem Services (5 papers) and 3D Modeling in Geospatial Applications (5 papers). John P. Isaacs collaborates with scholars based in United Kingdom, United States and Czechia. John P. Isaacs's co-authors include Eyad Elyan, Ruth E. Falconer, David J. Blackwood, Daniel Gilmour, Richard Laing, David W. Russell, A. M. MacLeod, Ian Ferguson, Roger D. White and Christopher D. McDermott and has published in prestigious journals such as International Journal of Environmental Research and Public Health, IEEE Transactions on Vehicular Technology and Computers and Electronics in Agriculture.

In The Last Decade

John P. Isaacs

27 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
John P. Isaacs	93	58	52	43	33	30	344
Haowen Xu	42 0.5×	61 1.1×	23 0.4×	21 0.5×	21 0.6×	32	311
Zijiang Zhu	59 0.6×	16 0.3×	16 0.3×	28 0.7×	30 0.9×	30	377
Michela Paolucci	47 0.5×	87 1.5×	149 2.9×	15 0.3×	19 0.6×	35	399
Javier Morales	21 0.2×	67 1.2×	54 1.0×	18 0.4×	12 0.4×	29	329
Ahmed Lbath	59 0.6×	59 1.0×	87 1.7×	6 0.1×	40 1.2×	37	326
Miguel Torres-Ruiz	91 1.0×	36 0.6×	39 0.8×	5 0.1×	25 0.8×	58	397
Leandro Madrazo	42 0.5×	145 2.5×	24 0.5×	50 1.2×	6 0.2×	32	352
Hardeep Singh	29 0.3×	64 1.1×	15 0.3×	12 0.3×	84 2.5×	43	321
Linfang Ding	100 1.1×	50 0.9×	26 0.5×	10 0.2×	45 1.4×	43	392
Paul Baumann	23 0.2×	91 1.6×	65 1.3×	10 0.2×	17 0.5×	40	376

Countries citing papers authored by John P. Isaacs

Since Specialization

Citations

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

Fields of papers citing papers by John P. Isaacs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Isaacs. 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 John P. Isaacs. The network helps show where John P. Isaacs may publish in the future.

Co-authorship network of co-authors of John P. Isaacs

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Isaacs. A scholar is included among the top collaborators of John P. Isaacs 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 John P. Isaacs. John P. Isaacs 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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