James D. Garber

64 total papers · 440 total citations
47 papers, 359 citations indexed

About

James D. Garber is a scholar working on Ocean Engineering, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, James D. Garber has authored 47 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Ocean Engineering, 21 papers in Mechanical Engineering and 11 papers in Materials Chemistry. Recurrent topics in James D. Garber's work include Drilling and Well Engineering (22 papers), Reservoir Engineering and Simulation Methods (15 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). James D. Garber is often cited by papers focused on Drilling and Well Engineering (22 papers), Reservoir Engineering and Simulation Methods (15 papers) and Hydraulic Fracturing and Reservoir Analysis (9 papers). James D. Garber collaborates with scholars based in United States, Colombia and Bulgaria. James D. Garber's co-authors include F. Farshad, Juan Gonzalo Morales Osorio, Herman H. Rieke, R.S. Perkins, Rakesh Singh, W. T. Ziegler, Thomas C. Pesacreta, Rakesh K. Singh, Frederick H. Walters and Eizi Morikawa and has published in prestigious journals such as Corrosion Science, Review of Scientific Instruments and Journal of Chemical & Engineering Data.

In The Last Decade

James D. Garber

41 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
James D. Garber	180	101	92	77	68	47	359
Oleg Vinogradov	72 0.4×	116 1.1×	77 0.8×	51 0.7×	16 0.2×	55	363
Bijan Kermani	85 0.5×	40 0.4×	82 0.9×	141 1.8×	50 0.7×	21	393
Jinming Liu	183 1.0×	165 1.6×	40 0.4×	30 0.4×	44 0.6×	46	400
Song Deng	160 0.9×	137 1.4×	54 0.6×	20 0.3×	18 0.3×	55	309
Min Qin	67 0.4×	140 1.4×	170 1.8×	31 0.4×	32 0.5×	41	381
Tao Deng	63 0.3×	123 1.2×	56 0.6×	65 0.8×	22 0.3×	30	331
K. Sampath	114 0.6×	188 1.9×	69 0.8×	41 0.5×	33 0.5×	31	388
Kun Wang	207 1.1×	126 1.2×	45 0.5×	22 0.3×	62 0.9×	27	383
Kai Feng	102 0.6×	165 1.6×	46 0.5×	75 1.0×	76 1.1×	37	383
Xuedong Liu	69 0.4×	159 1.6×	99 1.1×	30 0.4×	55 0.8×	48	326

Countries citing papers authored by James D. Garber

Since Specialization

Citations

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

Fields of papers citing papers by James D. Garber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James D. Garber. 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 James D. Garber. The network helps show where James D. Garber may publish in the future.

Co-authorship network of co-authors of James D. Garber

This figure shows the co-authorship network connecting the top 25 collaborators of James D. Garber. A scholar is included among the top collaborators of James D. Garber 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 James D. Garber. James D. Garber 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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