H. J. Moss

7.7k total citations
3 papers, 17 citations indexed

About

H. J. Moss is a scholar working on Information Systems, Mechanics of Materials and Ocean Engineering. According to data from OpenAlex, H. J. Moss has authored 3 papers receiving a total of 17 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Information Systems, 1 paper in Mechanics of Materials and 1 paper in Ocean Engineering. Recurrent topics in H. J. Moss's work include Risk and Safety Analysis (1 paper), Computational and Text Analysis Methods (1 paper) and Oil and Gas Production Techniques (1 paper). H. J. Moss is often cited by papers focused on Risk and Safety Analysis (1 paper), Computational and Text Analysis Methods (1 paper) and Oil and Gas Production Techniques (1 paper). H. J. Moss collaborates with scholars based in United Kingdom and Switzerland. H. J. Moss's co-authors include Suparna De and Jon Johnson and has published in prestigious journals such as SHILAP Revista de lepidopterología and 2022 IEEE International Conference on Big Data (Big Data).

In The Last Decade

H. J. Moss

3 papers receiving 16 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
H. J. Moss United Kingdom	2	12	7	5	3	2	3	17
Elaine Zosa Finland	4	18 1.5×	11 1.6×	6 1.2×	6 2.0×		11	35
R. F. Xu China	2	13 1.1×	7 1.0×	7 1.4×	3 1.0×	2 1.0×	2	37
Tom Stepleton United States	4	22 1.8×	2 0.3×	4 0.8×	1 0.3×		4	33
L. F. Chaparro Sierra Colombia	3	9 0.8×		4 0.8×	2 0.7×	1 0.5×	8	18
Suzanne Lightman	2	7 0.6×		7 1.4×	4 1.3×		2	14
Lucas Hosseini France	3	14 1.2×		4 0.8×	5 1.7×		4	47
Pirouz Naghavi United States	2	7 0.6×		6 1.2×	5 1.7×		2	14
Eliza Szczechla Poland	3	9 0.8×		10 2.0×	2 0.7×		4	21
J. Moon South Korea	3	11 0.9×		3 0.6×	3 1.0×		4	18
K. L. Han China	2	14 1.2×		2 0.4×	3 1.0×		5	23

Countries citing papers authored by H. J. Moss

Since Specialization

Citations

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

Fields of papers citing papers by H. J. Moss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. J. Moss

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

All Works

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3 of 3 papers shown

1.

De, Suparna, et al.. (2022). Engineering a machine learning pipeline for automating metadata extraction from longitudinal survey questionnaires. SHILAP Revista de lepidopterología. 46(1). 5 indexed citations

2.

De, Suparna, et al.. (2022). Analysing Longitudinal Social Science Questionnaires: Topic modelling with BERT-based Embeddings. 2022 IEEE International Conference on Big Data (Big Data). 5558–5567. 11 indexed citations

3.

Moss, H. J., et al.. (2015). Delivering Improved Asset Integrity and Increased Production Efficiency through the Targeted Maintenance of Pressure Safety Valves. 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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