H. Ned Seelye

26 total papers · 910 total citations
21 papers, 546 citations indexed

About

H. Ned Seelye is a scholar working on Education, Language and Linguistics and Sociology and Political Science. According to data from OpenAlex, H. Ned Seelye has authored 21 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Education, 3 papers in Language and Linguistics and 2 papers in Sociology and Political Science. Recurrent topics in H. Ned Seelye's work include Second Language Learning and Teaching (2 papers), Multilingual Education and Policy (2 papers) and EFL/ESL Teaching and Learning (2 papers). H. Ned Seelye is often cited by papers focused on Second Language Learning and Teaching (2 papers), Multilingual Education and Policy (2 papers) and EFL/ESL Teaching and Learning (2 papers). H. Ned Seelye collaborates with scholars based in United States and Guatemala. H. Ned Seelye's co-authors include Robert C. Lafayette, Marilynn B. Brewer, Howard Lee Nostrand, Sally Sieloff Magnan, Theodore V. Higgs and Robert G. Mead and has published in prestigious journals such as Modern Language Journal, Science Education and Language Learning.

In The Last Decade

H. Ned Seelye

18 papers receiving 382 citations

Author Peers

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

Author						Papers	Cites
H. Ned Seelye	237	189	125	115	96	21	546
Genelle Morain	128 0.5×	82 0.4×	76 0.6×	55 0.5×	85 0.9×	24	455
Ram Ashish Giri	132 0.6×	128 0.7×	151 1.2×	112 1.0×	66 0.7×	26	577
Manuela Guilherme	234 1.0×	277 1.5×	264 2.1×	191 1.7×	105 1.1×	24	580
Silvia Pessoa	189 0.8×	263 1.4×	143 1.1×	70 0.6×	114 1.2×	25	489
Peter Eglin	320 1.4×	169 0.9×	56 0.4×	74 0.6×	183 1.9×	19	590
John C. Condon	151 0.6×	80 0.4×	70 0.6×	30 0.3×	110 1.1×	15	478
Shi‐xu	194 0.8×	189 1.0×	79 0.6×	172 1.5×	214 2.2×	32	605
Gerlinde Mautner	141 0.6×	206 1.1×	65 0.5×	63 0.5×	115 1.2×	16	531
Brian J. McVeigh	87 0.4×	69 0.4×	75 0.6×	69 0.6×	152 1.6×	31	448
Karen Englander	74 0.3×	227 1.2×	101 0.8×	67 0.6×	64 0.7×	20	452

Countries citing papers authored by H. Ned Seelye

Since Specialization

Citations

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

Fields of papers citing papers by H. Ned Seelye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Ned Seelye

This figure shows the co-authorship network connecting the top 25 collaborators of H. Ned Seelye. A scholar is included among the top collaborators of H. Ned Seelye 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. Ned Seelye. H. Ned Seelye 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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